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Ticket: CVS-147626 Notebooks: 1. speculative-sampling/speculative-sampling.ipynb 2. stable-audio/stable-audio.ipynb 3. surya-line-level-text-detection/surya-line-level-text-detection.ipynb - minimal Gradio demo, helper not needed 4. table-question-answering/table-question-answering.ipynb 5. tiny-sd-image-generation/tiny-sd-image-generation.ipynb 6. triposr-3d-reconstruction/triposr-3d-reconstruction.ipynb 7. typo-detector/typo-detector.ipynb - no gradio demo 8. wuerstchen-image-generation/wuerstchen-image-generation.ipynb - minimal Gradio demo, helper not needed 9. yolov10-optimization/yolov10-optimization.ipynb 10. zeroscope-text2video/zeroscope-text2video.ipynb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,29 @@ | ||
| from typing import Callable | ||
| import gradio as gr | ||
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| main_model_id = "meta-llama/Llama-2-7b-chat-hf" | ||
| draft_model_id = "TinyLlama/TinyLlama-1.1B-Chat-v1.0" | ||
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| def make_demo(fn: Callable): | ||
| with gr.Blocks() as demo: | ||
| gr.Markdown( | ||
| f""" | ||
| # Speculative Sampling Demo | ||
| ## The output will show a comparison of Autoregressive Sampling vs Speculative Sampling | ||
| - Main Model: {main_model_id} | ||
| - Draft Model: {draft_model_id} | ||
| - K = 5 | ||
| """ | ||
| ) | ||
| with gr.Row(): | ||
| input = gr.Textbox( | ||
| value="Alan Turing was a", | ||
| placeholder="THIS CANNOT BE EMPTY", | ||
| label="Input Prompt", | ||
| ) | ||
| output = gr.Textbox(label="Output") | ||
| btn = gr.Button("Run") | ||
| btn.click(fn=fn, inputs=input, outputs=output) | ||
| return demo |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,27 @@ | ||
| from typing import Callable | ||
| import gradio as gr | ||
| import numpy as np | ||
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| MAX_SEED = np.iinfo(np.int32).max | ||
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| def make_demo(fn: Callable): | ||
| demo = gr.Interface( | ||
| fn=fn, | ||
| inputs=[ | ||
| gr.Textbox(label="Text Prompt"), | ||
| gr.Slider(1, 47, label="Total seconds", step=1, value=10), | ||
| gr.Slider(10, 100, label="Number of steps", step=1, value=100), | ||
| gr.Slider(0, MAX_SEED, label="Seed", step=1), | ||
| ], | ||
| outputs=["audio"], | ||
| examples=[ | ||
| ["128 BPM tech house drum loop"], | ||
| ["Blackbird song, summer, dusk in the forest"], | ||
| ["Rock beat played in a treated studio, session drumming on an acoustic kit"], | ||
| ["Calmful melody and nature sounds for restful sleep"], | ||
| ], | ||
| allow_flagging="never", | ||
| ) | ||
| return demo |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| from pathlib import Path | ||
| from typing import Callable | ||
| import gradio as gr | ||
| import pandas as pd | ||
| import requests | ||
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| csv_file_name = "eu_city_population_top10.csv" | ||
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| if not Path(csv_file_name).exists(): | ||
| r = requests.get("https://github.com/openvinotoolkit/openvino_notebooks/files/13215688/eu_city_population_top10.csv") | ||
| with open(csv_file_name, "w") as f: | ||
| f.write(r.text) | ||
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| def display_table(csv_file_name): | ||
| table = pd.read_csv(csv_file_name.name, delimiter=",") | ||
| table = table.astype(str) | ||
| return table | ||
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| def make_demo(fn: Callable): | ||
| with gr.Blocks(title="TAPAS Table Question Answering") as demo: | ||
| with gr.Row(): | ||
| with gr.Column(): | ||
| search_query = gr.Textbox(label="Search query") | ||
| csv_file = gr.File(label="CSV file") | ||
| infer_button = gr.Button("Submit", variant="primary") | ||
| with gr.Column(): | ||
| answer = gr.Textbox(label="Result") | ||
| result_csv_file = gr.Dataframe(label="All data") | ||
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| examples = [ | ||
| [ | ||
| "What is the city with the highest population that is not a capital?", | ||
| csv_file_name, | ||
| ], | ||
| ["In which country is Madrid?", csv_file_name], | ||
| [ | ||
| "In which cities is the population greater than 2,000,000?", | ||
| csv_file_name, | ||
| ], | ||
| ] | ||
| gr.Examples(examples, inputs=[search_query, csv_file]) | ||
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| # Callbacks | ||
| csv_file.upload(display_table, inputs=csv_file, outputs=result_csv_file) | ||
| csv_file.select(display_table, inputs=csv_file, outputs=result_csv_file) | ||
| csv_file.change(display_table, inputs=csv_file, outputs=result_csv_file) | ||
| infer_button.click(fn=fn, inputs=[search_query, csv_file], outputs=[answer, result_csv_file]) | ||
| return demo |
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